Perotti Luigi E, Magrath Patrick, Verzhbinsky Ilya A, Aliotta Eric, Moulin Kévin, Ennis Daniel B
Department of Radiological Sciences, University of California, Los Angeles, USA.
Department of Bioengineering, University of California, Los Angeles, USA.
Funct Imaging Model Heart. 2017 Jun;10263:381-391. doi: 10.1007/978-3-319-59448-4_36. Epub 2017 May 23.
Metrics of regional myocardial function can detect the onset of cardiovascular disease, evaluate the response to therapy, and provide mechanistic insight into cardiac dysfunction. Knowledge of local myocardial microstructure is necessary to distinguish between isotropic and anisotropic contributions of local deformation and to quantify myofiber kinematics, a microstructurally anchored measure of cardiac function. Using a computational model we combine cardiac displacement and diffusion tensor data to evaluate pointwise the deformation gradient tensor and isotropic and anisotropic deformation invariants. In discussing the imaging methods and the model construction, we identify potential improvements to increase measurement accuracy. We conclude by demonstrating the applicability of our method to compute in five healthy volunteers.
局部心肌功能指标可检测心血管疾病的发作，评估治疗反应，并为心脏功能障碍提供机制性见解。了解局部心肌微观结构对于区分局部变形的各向同性和各向异性贡献以及量化肌纤维运动学（一种基于微观结构的心脏功能测量方法）是必要的。我们使用一个计算模型，结合心脏位移和扩散张量数据，逐点评估变形梯度张量以及各向同性和各向异性变形不变量。在讨论成像方法和模型构建时，我们确定了提高测量准确性的潜在改进措施。我们通过在五名健康志愿者中演示我们的计算方法的适用性来得出结论。
